2018
DOI: 10.1650/condor-17-86.1
|View full text |Cite
|
Sign up to set email alerts
|

Demographic rates of Golden-cheeked Warblers in an urbanizing woodland preserve

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
44
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 12 publications
(46 citation statements)
references
References 46 publications
2
44
0
Order By: Relevance
“…As often seems to be the case with study of poorly understood life history characteristics, our results may have raised as many or more questions than we have been able to answer. Our estimates of adult annual survival derived across 8 breeding seasons are similar to some of the relatively few estimates presumed to approximate true survival from other migratory songbirds on the North American breeding grounds (male and female Black-throated Blue Warblers [Setophaga caerulescens] = 0.40-0.51, ; male Golden-cheeked Warblers = 0.45-0.67, Reidy et al 2018). Interestingly, populations of both of these species are increasing, which raises questions about the relative contributions of different demographic rates to observed population trends of Golden-winged Warblers (Duarte et al 2015.…”
Section: Discussionsupporting
confidence: 59%
See 1 more Smart Citation
“…As often seems to be the case with study of poorly understood life history characteristics, our results may have raised as many or more questions than we have been able to answer. Our estimates of adult annual survival derived across 8 breeding seasons are similar to some of the relatively few estimates presumed to approximate true survival from other migratory songbirds on the North American breeding grounds (male and female Black-throated Blue Warblers [Setophaga caerulescens] = 0.40-0.51, ; male Golden-cheeked Warblers = 0.45-0.67, Reidy et al 2018). Interestingly, populations of both of these species are increasing, which raises questions about the relative contributions of different demographic rates to observed population trends of Golden-winged Warblers (Duarte et al 2015.…”
Section: Discussionsupporting
confidence: 59%
“…We ran the s-CJS model in a Bayesian framework using program JAGS (Plummer 2003) executed in package jagsUI (Kellner 2017) in program R (version 3.4.4, R Development Core Team 2018). We estimated annual survival by age, phenotype, sex, and study area, dispersal by age, and detection probability by site type because of variation in effort (Reidy et al 2018). We assumed a logistic (0, 1) prior distribution on all survival and detection probability slope coefficients (Rota et al 2016).…”
Section: Discussionmentioning
confidence: 99%
“…We assumed no age‐related variability in productivity ( m 1 = m 2 ) and constant adult survival with no obligate mortality ( S 1 = S 2 ), which is a suitable model for small, short‐lived birds (Noon and Sauer 2001). Age‐specific productivity and survival may be incorporated into population models of migratory songbirds, but we relied on vital rate estimates from Reidy et al (2018), and they did not provide age specific productivity or survival. Nevertheless, their estimates are from a large sample of territories during years the population appeared stable, which should serve as representative mean productivity and survival for our model.…”
Section: Methodsmentioning
confidence: 99%
“…We incorporated normal year‐to‐year variation or process variation as environmental stochasticity where we selected rates annually based on a mean and SD as described above (Akçakaya 2002, McGowan et al 2011). We created scenarios in addition to our baseline scenario to span the range of other mean estimates of productivity and survival in the literature and encompass the range of uncertainty reflected in 95% confidence and credible intervals for mean productivity and survival for the BCP (Reidy et al 2018). This allowed us to address parameter uncertainty or potential changes in rates due to habitat improvements or degradation (McGowan et al 2011).…”
Section: Methodsmentioning
confidence: 99%
“…We chose to use a T distribution as it has been shown to best fit data in previous studies of similar study systems (Reidy et al, 2018;Schaub & Royle, 2014) and seemed compatible with observed dispersal movements within the study area (Appendix Figure A3 1-3). The mean parameter G i,t is the location vector of the individual i in year t. The variance parameter Gi,t describes the movement variance and this parameter was allowed to vary with habitat types and age as distances to first breeding sites were expected on average longer (natal dispersal) than distances between consecutive breeding sites (breeding dispersal).…”
Section: Survivalmentioning
confidence: 99%